Machine Learning Engineer
Core
Building intelligent user experiences and production-grade ML features for Enterprise Financials and Accounting systems using generative AI, LLMs, and autonomous agents.
Role type
Senior Machine Learning Engineer (Financials Hyper Automation)
Builds
Production ML services, reasoning agents, and agentic self-improvement features for ERP Financial and Accounting systems.
Domain
Enterprise Financials / AI / Machine Learning
Deliverable
production ML models | product features
Required skills
Python, cloud computing (AWS/GCP), ML frameworks (PyTorch/TensorFlow/Scikit-learn), LLMs, RAG, autonomous agents, information retrieval, Kubernetes, statistical analysis, NLP
Preferred skills
Deep learning, scalable ML services, technical leadership
Technologies
Python, AWS, GCP, PyTorch, TensorFlow, Scikit-learn, Pandas, PySpark, Kubernetes, LLMs, RAG
Responsibilities
Own exploration, design, implementation, and deployment of ML features; Evaluate scalability and observability of features; Apply ML techniques to process business documents and automate workflows; Stay current with AI/LLM advancements; Serve as a technical role model for junior engineers
Seniority
Senior, hands-on IC with technical leadership